ODL: ODL

In alex-kalinka-cruk/perept: Performance estimation using repeated tests.

Description

Calculate the logarithm of the Observed Data Likelihood (ODL) when true responses are unknown and repeated tests are performed on a set of test subjects (e.g. genes).

Usage

ODL(n_pos, N, theta_0, theta_1, p00, p11, p01, p10)

Arguments

n_pos	Vector of integers specifying the number of tests that produced a positive result for each subject.
N	Integer value giving the total number of repeated tests per subject.
theta_0	A real number (in range [0,1]) giving the prevalence of negative results for a set of test subjects.
theta_1	A real number (in range [0,1]) giving the prevalence of positive results for a set of test subjects.
p00	A real number (in range [0,1]) giving the probability that a test is negative given that the true result is negative (true-negative rate) for a set of test subjects.
p11	A real number (in range [0,1]) giving the probability that a test is positive given that the true result is positive (true-positive rate) for a set of test subjects.
p01	A real number (in range [0,1]) giving the probability that a test is negative given that the true result is positive (false-negative rate) for a set of test subjects.
p10	A real number (in range [0,1]) giving the probability that a test is positive given that the true result is negative (false-positive rate) for a set of test subjects.

Value

A real value giving the 'log(ODL)'.

References

Jakobsdottir and Weeks (2007). Estimating prevalence, false-positive rate, and false-negative rate with use of repeated testing when true responses are unknown. Am J Hum Genet 81:1111-1113.

alex-kalinka-cruk/perept documentation built on Jan. 11, 2020, 3:46 p.m.